Neighborhood Intelligence (NXH) Return on Assets [ROA] (2011 - 2026)
Neighborhood Intelligence (NXH) recorded Return on Assets [ROA] of -15.65% in Q2 2026, up 40.18 percentage points from -55.84% a year earlier but down 0.93 percentage points from the prior quarter.
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Analysis
Neighborhood Intelligence (NXH) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025, Neighborhood Intelligence reported Return on Assets [ROA] of -20.45%, up 29.42 percentage points from FY2024.
- Annual Return on Assets [ROA] has a five-year change of -27.85 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Assets [ROA] came in at -49.88% in FY2024 (-9.22 pp), -40.66% in FY2023 (-37.03 pp), -3.62% in FY2022 (-44.66 pp) and 41.03% in FY2021 (+33.63 pp).
- Quarterly Return on Assets [ROA] has ranged from -73.19% in Q3 2024 to 36.51% in Q4 2021 over the past five years.
- On a year-over-year basis, Return on Assets [ROA] has increased for six consecutive quarters, with an average year-over-year change of +12.61 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 43.99 percentage points in Q1 2026, against a drop of 54.94 percentage points in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -14.73% (Q1 2026), -20.15% (Q4 2025) and -37.54% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.15% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 13.10% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 16.56% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 11.99% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 16.86% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 7.42% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 15.05% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 15.44% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 11.98% |
| 10 | Neighborhood Intelligence | 225.66 Mn | -351.99 Mn | 96.68 Mn | -15.65% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -15.65% |
| Mar 31, 2026 | -14.73% |
| Dec 31, 2025 | -20.15% |
| Sep 30, 2025 | -37.54% |
| Jun 30, 2025 | -55.84% |
| Mar 31, 2025 | -58.71% |
| Dec 31, 2024 | -62.34% |
| Sep 30, 2024 | -73.19% |
| Jun 30, 2024 | -63.41% |
| Mar 31, 2024 | -61.24% |
| Dec 31, 2023 | -43.77% |
| Sep 30, 2023 | -20.53% |
| Jun 30, 2023 | -16.06% |
| Mar 31, 2023 | -6.30% |
| Dec 31, 2022 | -3.85% |
| Sep 30, 2022 | 1.35% |
| Jun 30, 2022 | 7.79% |
| Mar 31, 2022 | 35.98% |
| Dec 31, 2021 | 36.51% |
| Sep 30, 2021 | 33.81% |
API Access
Neighborhood Intelligence Return on Assets [ROA] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-assets-%5Broa%5D&ticker=NXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "ticker": "NXH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-assets-%5Broa%5D&ticker=NXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();